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197 articles for “Data Sources (DS)”

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Research ArticleOpen accessIn the abstractData Warehouse Design to Support Social Media Analysis in a Big Data EnvironmentCarlos Roberto Valêncio, Luis Marcello Moraes Silva, William Tenório et al.The volume of generated and stored data from social media has increased in the last decade. Therefore, analyzing and understanding this kind of data can offer relevant information in different contexts and can assist researchers and companies in the decision-making process. However, the data are scattered in a large volume, come from different sources, with different formats and are rapidly … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractBig Data Interoperability for E-GovernanceEl Benany Med Mahmoud, El Beqqali Omar, Aris M. OukselThe notion of governance is innate to any society in the word. The use of big-data allow governance as a competitive advantage to attract resources, with the emergence of the social web and exponential data generated accordingly. Such social web and exponential data can be analyzed to give the enlightened human beings about the good governance and maintain an intelligent … …Journal of Computer Science, Vol. 15, Issue 10 · 7 Oct 2019 · 8,105 accessesView PDFCite
Review ArticleOpen accessIn the abstractMeta-Analysis of Data Collect MethodsIman Tikito, Mohammed El Arass, Nissrine SouissiSeveral organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data generated by different sources, such as IoT, sensors and databases. At the core of data lifecycle, data reliability, analytics, security, scalability and use are important concerns. Coping with these issues in handling data requires understanding the challenges associated with it. Analysis process and storage devices … …Journal of Computer Science, Vol. 15, Issue 8 · 24 Aug 2019 · 7,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards a Generic Multimodal Architecture for Batch and Streaming Big Data IntegrationSiham Yousfi, Maryem Rhanoui, Dalila ChiadmiBig Data are rapidly produced from various heterogeneous data sources. They are of different types (text, image, video or audio) and have different levels of reliability and completeness. One of the most interesting architectures that deal with the large amount of emerging data at high velocity is called the lambda architecture. In fact, it combines two different processing layers namely … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Jan 2019 · 7,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractCurie Point Depth (CPD) Investigation Of Offshore Niger Delta Using High Resolution Aeromagnetic DataOfoha Chimezie Charles, Emujakporue Godwin OmokenuOffshore Niger Delta, Nigeria, is known to be a hub for hydrocarbon exploration within the West Africa region and the world in general. The geologic settings within the Niger Delta province have a proven potential to assist in oil and gas exploration. However, much of the offshore provinces potential remains unknown with respect to the temperature differences using aeromagnetic data. … …Current Research in Geoscience, Vol. 8, Issue 1 · 18 Jan 2019 · 7,815 accessesView PDFCite
Research ArticleOpen accessIn the abstractCattle Raising Practices in North-West CambodiaSophany Morm, Koemseang Nhuong, Vibol Peuo et al.We aimed to assess current cattle farming practices in northwest Cambodia in terms of economy, practical management, productivity, and sustainability. The study sites were selected in four provinces (Pursat, Battambang, Pailin, and Banteay Meanchey) with 316 cattle livestock farmers interviewed as representative samples using systematic sampling. A stratified sampling method was utilized. Data were analyzed and descriptive statistics was used … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 7 Dec 2024 · 6,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,545 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpidemiological Insights and Case Fatality Analysis of SARS-CoV-2 in Indian States During the First WaveRakesh Kaushik, Nikita et al.Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has globally spread, causing a significant health crisis. India, with over 157,000 fatalities, ranks third globally in mortality cases. While vaccine development has played a pivotal role in decelerating the virus's spread, understanding the specific factors influencing morbidity and mortality during the first wave remains essential. This retrospective study analyzes data from 28 Indian … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 21 Jan 2025 · 4,312 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Talent Sourcing Through Advanced Skill Profiling TechniqueAmey Krishnanath Shet Tilve, Gaurang Sitaram Patkar, Vadiraj Gururaj Inamdar et al.The hiring process often struggles with aligning job seekers' skills to employers' requirements, leading to inefficiencies and mismatches. To address this challenge, a dual-functionality system is proposed that leverages Natural Language Processing (NLP) techniques, including BERT for embedding textual information and cosine similarity to rank resumes according to their alignment with job descriptions and to recommend suitable candidates to employers … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,976 accessesView PDFCite
Review ArticleOpen accessIn the abstractHealthcare Driven by Big Data AnalyticsCheryl Ann Alexander, Lidong WangText messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 28 Sep 2018 · 7,403 accessesView PDFCite